Discriminant Analysis - Statpower

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y = .0264 x + .2075 x + .0086 x + .4459x (21) and the cutoff point is 4.750. 1 2 3 4 SPSS reports coefficients (“Unstandardized Canonical Coefficients”) that are proportional to those in Equation (11) . These are divided by the standard deviation of the predicted scores, i.e., ( − ) − ′ 1/2 * 1 a = aS a a (22)
Note that variables x 1 and x 3 do not appear to have much influence in discriminating between the senile and non-senile group. Incidentally, one important outcome of the analysis is the classification matrix, which shows the result of applying the discriminant function classification rule.
Page 1 and 2: Discriminant Analysis In discrimina
Page 3 and 4: Linear Discriminant Function - Two
Page 5 and 6: The linear discriminant function wa
Page 7 and 8: ( ) βˆ = cA −1 x −x (3) 1 2 w
Page 9 and 10: Recall that group 1 is associated w
Page 11 and 12: so ˆβ in Equation (9) can be repl
Page 13 and 14: Of course, we could generate a diff
Page 15 and 16: above function values will lead to
Page 17 and 18: Example. Morrison (1990, page 143)
Page 19: In this case, −1 S is given by
Page 23 and 24: But first, let’s perform the anal
Page 25 and 26: Now, if we drop the two non-contrib

Discriminant Analysis - Statpower

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